Results 71 to 80 of about 812,319 (279)
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia +9 more
wiley +1 more source
Generative Bayesian Computation for Maximum Expected Utility
Generative Bayesian Computation (GBC) methods are developed to provide an efficient computational solution for maximum expected utility (MEU). We propose a density-free generative method based on quantiles that naturally calculates expected utility as a ...
Nick Polson +2 more
doaj +1 more source
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley +1 more source
Chronic kidney disease (CKD) is a noteworthy global health issue affecting 10% of the world’s populace. It is increasingly linked to environmental exposures; however, the interplay of toxic metals, per- and polyfluoroalkyl substances (PFAS), and ...
Issah Haruna, Emmanuel Obeng-Gyasi
doaj +1 more source
Non-crossing nonparametric estimates of quantile curves [PDF]
--Quantile estimation , conditional distribution , local linear estimate , Nadaraya Watson estimate , crossing quantile ...
Volgushev, Stanislav, Dette, Holger
core
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
Bayesian modeling of quantiles of body mass index among under-five children in Ethiopia
Background Body Mass Index (BMI) is a measurement of nutritional status, which is a vital pre-condition for good health. The prevalence of childhood malnutrition and the potential long-term health risks associated with obesity in Ethiopia have recently ...
Daniel M. Mekuriaw +2 more
doaj +1 more source
Machine learning’s integration into reliability analysis holds substantial potential to ensure infrastructure safety. Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR)
Geng-Fu He, Pin Zhang, Zhen-Yu Yin
doaj +1 more source
Prior elicitation in Bayesian quantile regression for longitudinal data [PDF]
© 2011 Alhamzawi R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original auhor and source are ...
Alhamzawi, Rahim +7 more
core +1 more source
DyCoDiff: Dynamic Collaborative Diffusion for Text‐Image‐Audio‐to‐Video
DyCoDiff enables text, image, and audio conditions to collaborate before temporal video generation. A multimodal condition fusion layer injects gated text‐centric fusion into the temporal branch, while collaborative losses align generated videos with semantic, visual, and dynamic audio cues for rhythm‐sensitive text‐image‐audio‐to‐video synthesis. Text‐
Youming Zhang +3 more
wiley +1 more source

